{"id":1020676,"url":"https://alion.io/job/synechron-genai-engineering-2","title":"GenAI Engineer – LLM, RAG, Agentic AI & MLOps","company":{"id":5306,"name":"Synechron","domain":"synechron.com","url":"https://alion.io/company/synechron","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":23,"ghost_share":0.043,"stale_share":0.174,"repost_share":0.174,"time_to_fill_p50_days":21,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Interpretability","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"MLFlow","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorBoard","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false}],"status":"live","first_seen_at":"2026-09-18T05:24:08Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-11-08T16:10:06Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":51},"description":"Job Summary\nSynechron is seeking a seasoned Gen AI Engineer to lead the development and deployment of agentic AI solutions supporting enterprise business processes. This role involves designing, fine-tuning, and implementing large language models (LLMs), retrieval-augmented generation (RAG) systems, and multimodal agents, with a focus on delivery, performance, and operational security. The ideal candidate will leverage extensive experience in Python, cloud platforms, and AI frameworks, collaborating across teams to innovate and provide scalable, secure AI solutions that support business growth.\nSoftware Requirements\nRequired Software Proficiency:\nPython (latest stable version, e.g., Python 3.8+) - extensive hands-on experience supporting training, fine-tuning, and inference of large AI models (supporting 5+ years)\nAI Frameworks: PyTorch, TensorFlow - proven expertise in training, deploying, and optimizing deep learning models supporting generative and multimodal capabilities\nLarge Language Models: GPT, Claude, Llama, Gemini, or similar - experienced in prompt engineering, fine-tuning, and deployment support (supporting 3+ years)\nCloud Platforms: AWS, Azure, or GCP - experience deploying and managing scalable AI models supporting enterprise solutions (preferred support, 3+ years)\nModel orchestration & management: MLflow, Kubeflow supporting model lifecycle, versioning, and monitoring (preferred support)\nData processing: Pandas, NumPy supporting data preparation and feature engineering support\nPreferred Software Skills:\nAI model evaluation and bias mitigation tools supporting model fairness and performance assessment\nMLOps pipelines supporting continuous deployment, retraining, and automation support (Kubeflow, TFX, or similar)\nMulti-modal processing frameworks supporting text, images, and audio inputs (preferred)\nOverall Responsibilities\nLead the design, training, and deployment of large language models and multimodal agents supporting enterprise automation and insights\nDevelop scalable AI pipelines supporting real-time inference, retraining, and model monitoring in cloud environments\nCollaborate with data scientists, platform engineers, and business stakeholders to translate use cases into operational AI systems supporting automation and decision support\nSupport prompt engineering, model evaluation, bias detection, and performance tuning for operational reliability and fairness\nAutomate deployment, versioning, and monitoring workflows supporting MLOps and responsible AI standards\nConduct model validation, interpretability checks, and security assessments supporting compliance in regulated environments\nSupport enterprise data pipelines supporting multimodal, retrieval-augmented, and knowledge-based AI systems supporting operational transparency\nDocument model architecture, training, tuning, deployment procedures, and operational metrics supporting audit and compliance regimes\nTechnical Skills (By Category)\nLanguages & Frameworks (Essential):Python supporting large-scale model training, fine-tuning, and scripting for automation\nPyTorch and TensorFlow supporting deep learning model development and deployment\nSupporting libraries: Hugging Face Transformers, LangChain, support for RAG architecture and plugin integration\n\nData & Model Management:Pandas, NumPy supporting data preparation, feature engineering, and validation\nModel versioning tools: MLflow, Kubeflow supporting lifecycle management and deployment support\n\nCloud & Infrastructure:AWS, Azure, or GCP supporting scalable deployment and inference in enterprise settings (preferred)\nContainer orchestration support: Docker, Kubernetes supporting scalable, cloud-native AI systems\n\nModel Evaluation & Monitoring:Tools supporting bias detection, fairness assessment, and inference monitoring (e.g., TensorBoard, custom dashboards)\n\nExperience Requirements\n5+ years supporting enterprise AI/ML projects, including large language models, retrieval-augmented generation, and multimodal systems\nProven experience in deploying AI models supporting automation, knowledge management, and operational workflows\nExtensive hands-on expertise in cloud AI deployment, orchestrating model lifecycle, and scalable inference support (preferably in regulated environments)\nExperience supporting responsible AI practices, model fairness, and security in enterprise settings\nDay-to-Day Activities\nDevelop, fine-tune, and deploy large language models and multimodal agents supporting enterprise automation workflows\nBuild and automate AI pipelines supporting training, inference, retraining, and model monitoring workflows in a cloud environment\nCollaborate closely with data scientists, platform teams, and business units to deliver scalable AI solutions supporting operational efficiency\nConduct bias, fairness, and security evaluations supporting compliance and trustworthy AI practices\nTroubleshoot and optimize model inference latency, retraining workflows, and deployment environments supporting enterprise scale\nAutomate model deployment, monitoring, and retraining pipelines supporting continuous delivery and performance tuning\nDocument AI architecture, models, training, and operational procedures supporting audit readiness and governance\nQualifications\nBachelor’s or Master’s degree in Data Science, Computer Science, AI, or related technical fields\n5+ years supporting enterprise AI/ML solutions, including large language models, retrieval-augmented systems, and multimodal agents\nCertifications supporting cloud platforms (AWS, GCP, Azure) or responsible AI practices are advantageous (preferred)\nProven experience supporting or leading compliant, scalable AI systems supporting data privacy and fairness standards\nProfessional Competencies\nStrong analytical and troubleshooting skills supporting complex model validation, bias detection, and model performance issues\nReady to work in hybrid model , for 3 days a week at client office.\nLeadership qualities to guide and mentor junior AI engineers and promote best practices in responsible AI deployment\nStakeholder communication skills supporting requirement translation, reporting, and compliance documentation\nAdaptability supporting evolving AI research, cloud services, security, and regulatory standards\nStrategic thinking supporting scalable, secure, and ethical AI systems supporting enterprise objectives\nOrganisational skills to manage multiple models, retraining cycles, and deployment activities efficiently in complex environments\nS YNECHRON’S DIVERSITY & INCLUSION STATEMENT\nDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.\nAll employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.\nCandidate Application Notice","description_format":"text","description_chars":7633,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Financial Software & Embedded Finance","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-18T05:24:08Z"},{"event":"close","at":"2026-09-24T20:09:14Z"},{"event":"reopen","at":"2026-10-07T15:47:16Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.414,"p_room":0.28,"age_days":51,"expected_fill_days":21,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/synechron-genai-engineering-2","json_url":"https://alion.io/job/synechron-genai-engineering-2.json","meta":{"generated_at":"2026-11-08T17:12:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":36188,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5306},"rest":"https://alion.io/mcp/rest/get_company?id=5306"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsynechron-genai-engineering-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsynechron-genai-engineering-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsynechron-genai-engineering-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/synechron-genai-engineering-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsynechron-genai-engineering-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1020676}},{"tool":"search_jobs","arguments":{"company":"synechron.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1020676},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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