{"id":2975166,"url":"https://alion.io/job/fugentex-solutions-gen-ai-engineer-mid-level","title":"Gen AI Engineer (Mid-Level)","company":{"id":3806667,"name":"FuGenTex Solutions","domain":"fugentex.com","url":"https://alion.io/company/fugentex-solutions","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"WP Job Openings","truth_index":{"grade":"D","score":54,"open_postings":119,"ghost_share":0.773,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kolkata, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":31},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mistral","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"CI/CD","optional":true},{"name":"Fine-tuning","optional":true}],"status":"live","first_seen_at":"2026-07-10T07:03:16Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-24T04:50:53Z","board_verified":true,"closed_at":null,"days_open":106,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":105},"description":"Position Overview\nWe are seeking a talented and passionate Gen AI Engineer with strong expertise in Large\nLanguage Models (LLMs) to join our Backend Engineering team. In this role, you will design,\ndevelop, and optimize AI-powered backend solutions that leverage the latest generative AI\ntechnologies to build intelligent, scalable, and production-ready applications.\nKey Responsibilities\nDesign, develop, and deploy backend applications powered by Large Language Models\n(LLMs).\nBuild AI-driven services using modern Gen AI frameworks and APIs.\nDevelop and optimize prompt engineering strategies, Retrieval-Augmented Generation\n(RAG) pipelines, and agent-based workflows.\nIntegrate LLMs with internal systems, APIs, databases, and backend services.\nEvaluate, fine-tune, and optimize model performance, latency, accuracy, and cost.\nImplement monitoring, testing, and guardrails to ensure reliability, security, and responsible\nAI usage.\nCollaborate with backend engineers, product managers, and stakeholders to translate\nbusiness requirements into AI-enabled solutions.\nStay up to date with emerging advancements in generative AI, LLMs, and AI infrastructure.\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning,\nor a related field.\nProven experience developing applications using Large Language Models (LLMs).\nStrong programming skills in Python.\nExperience with Gen AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or\nsimilar.\nHands-on experience with leading LLM providers such as Open AI, Anthropic, Google\nGemini, or open-source models (e.g., Llama, Mistral).\nExperience designing and integrating RESTful APIs and backend services.\nStrong understanding of vector databases, embeddings, Retrieval-Augmented Generation\n(RAG), and prompt engineering.\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud.\nKnowledge of containerization and deployment technologies (Docker, Kubernetes) is an\nadvantage.\nExcellent analytical, problem-solving, and communication skills.\nPreferred Qualifications\nExperience fine-tuning or adapting foundation models.\nExperience with AI observability, evaluation frameworks, and model monitoring.\nFamiliarity with CI/CD pipelines and MLOps practices.\nExperience building production-scale AI applications.\nUnderstanding of AI governance, security, and responsible AI principles.\nWhat You’ll Bring\nPassion for generative AI and emerging technologies.","description_format":"text","description_chars":2470,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["DevOps & Platform Engineering","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-10-21T04:22:20Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long 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