{"id":178921,"url":"https://alion.io/job/ansrsource-full-stack-engineer-ai","title":"Full Stack Engineer - AI","company":{"id":1304,"name":"ansrsource","domain":"ansrsource.com","url":"https://alion.io/company/ansrsource","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":83000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":6933},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Hallucination","optional":true},{"name":"OpenSearch","optional":true},{"name":"Snowflake","optional":true},{"name":"SQL","optional":true},{"name":"Synthetic Data","optional":true}],"status":"live","first_seen_at":"2026-08-31T09:36:28Z","employer_posted_date":null,"last_verified_at":"2026-08-31T09:36:28Z","board_verified":false,"closed_at":null,"days_open":47,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":47},"description":"This role involves working deeply with multimodal foundation models, advanced agentic workflows (including Agent-to-Agent/A2A communication), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG) pipelines, other emerging AI technologies, and MLOps subsystems. You will utilize cloud services (AWS and multicloud) alongside vector, graph, and traditional databases to develop scalable and robust AI solutions.\nThe core responsibilities for the job include the following:\nAgentic and GenAI Application Development:\nDesign and build advanced AI agentic systems, state machines, and search-based conversational systems that solve complex business problems.\nDevelop workflows leveraging large foundational multimodal models to process and reason across text, audio, and video modalities.\nImplement Model Context Protocol (MCP) servers/clients to standardize context exchange between agents, data sources, and external tools.\nCollaborate with AI architects, product owners, and fellow developers to integrate AI capabilities into scalable, fair, and ethical end-user applications focusing on relevance and real-time performance.\nFull-Stack Engineering and Agentic SDLC:\nLeverage AI coding agents (e. g., Claude Code) daily to accelerate full-stack development cycles, maintaining high productivity across frontend, backend, and infrastructure tasks.\nTake end-to-end accountability for features: write high-quality, production-ready Python (and occasionally TypeScript) code with comprehensive testing and documentation.\nManage the DevOps/MLOps lifecycle: containerize applications using Docker, configure CI/CD pipelines, and architect high-throughput, reliable cloud-native solutions on AWS/multicloud.\nData Science, EDA, and Strategy:\nPerform thorough Exploratory Data Analysis (EDA) to understand dataset characteristics, uncover patterns, detect biases, and identify data quality issues.\nUse statistical and visualization techniques to inform feature engineering, model selection, and optimization of foundation model-based applications.\nDesign robust data pipelines to curate, preprocess, and structure diverse datasets that maximize LLM effectiveness and reduce bias.\nAlgorithm Development and Optimization:\nDesign, customize, optimize, and fine-tune LLM-based and traditional AI algorithms for specific use cases (e. g., text generation, summarization, AI agents, and sequence modeling).\nLead advanced prompt engineering strategies, utilizing zero-shot, few-shot, and other paradigms to optimize model outputs without extensive fine-tuning.\nImplement pre-generative AI models (e. g., classification, clustering, regression) when they provide a more efficient, interpretable, or cost-effective solution compared to LLMs.\nOptimize model inference speed, reduce latency (cold start reduction, caching strategies), and manage resource usage across cloud architectures.\nEvaluation, Observability, and Continuous Improvement:\nConduct rigorous experimentation (A/B testing) and implement automatic metric pipelines (e. g., BLEU/ROUGE, RAG retrieval accuracy, human rating frameworks, etc. ) to evaluate generative and multimodal systems.\nImplement real-time algorithms for monitoring and observability practices, ensuring visibility into pipeline behavior, drift detection, and anomaly identification using telemetry tools.\nTranslate complex technical results into clear, actionable insights for stakeholders, driving data-driven decision-making.\nRequirements:\n7+ years of experience in AI/ML engineering and data science, with exposure to generative AI, agents, and classical ML.\n3+ years of hands-on experience with generative large language models and agents.\nProven experience managing the end-to-end MLOps lifecycle and deploying models at scale.\nProven experience leveraging AI coding agents within an agentic SDLC to accelerate feature delivery.\nHold a B. Sc., B. Eng., M. Sc., M. Eng., Ph. D., or equivalent in computer science, physics, statistics, mathematics, or a related field.\nBe deeply passionate about AI, staying continuously up-to-date with the latest developments in foundational models, agentic approaches, and classical ML.\nBe team-oriented, proactive, and collaborative, thriving in a fast-paced environment where roles are fluid and multidisciplinary.\nBe a great communicator, able to present complex findings clearly to both technical and non-technical audiences.\nBe able to communicate in English at the level of C1+.\nBe ready to span their work times across the Central European Time Zone on occasion, when necessary.\nTechnical Skills:\nProgramming: Advanced production-grade proficiency in Python. Additional proficiency in TypeScript is considered an advantage.\nAI/GenAI Frameworks: Deep expertise with LangChain or similar LLM orchestration frameworks, agentic system design, and state machine logic.\nCloud Platforms: Practical experience designing cloud solutions on AWS (familiarity with multicloud is a plus), utilizing GenAI-specific services (e. g., Amazon Bedrock, SageMaker).\nDatabases: Strong knowledge of vector databases (e. g., AWS OpenSearch), graph databases, Snowflake, SQL, NoSQL, and data lakes.\nSoftware Engineering Best Practices: Expertise in API design, CI/CD, Docker, Infrastructure as Code, and rigorous automated testing.\nData Skills: Strong background in statistics, data manipulation, synthetic data generation, and feature engineering.\nCapabilities:\nProblem-Solving Skills: Excellent analytical skills to tackle complex engineering and statistical challenges.\nOwnership and Leadership: Deep sense of accountability, eager to define architectural patterns, and able to step into a tech lead role when necessary.\nConsulting: Ability to work closely with stakeholders across the enterprise to consult on the technological approaches to their business problems.\nEthics: Strong understanding of biases, fairness, hallucination mitigation, and responsible AI deployment.","description_format":"text","description_chars":5926,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Media & Entertainment","EdTech Platforms","Skill Assessment","Publishing"],"lifecycle":[{"event":"open","at":"2026-08-31T10:43:28Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.526,"p_room":0.45,"age_days":46,"expected_fill_days":26,"reasons":["seen:46","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/ansrsource-full-stack-engineer-ai","json_url":"https://alion.io/job/ansrsource-full-stack-engineer-ai.json","meta":{"generated_at":"2026-10-18T04:22:21Z","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":6527,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":1304},"rest":"https://alion.io/mcp/rest/get_company?id=1304"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fansrsource-full-stack-engineer-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fansrsource-full-stack-engineer-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fansrsource-full-stack-engineer-ai"},{"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/ansrsource-full-stack-engineer-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fansrsource-full-stack-engineer-ai"}]}