{"id":1292996,"url":"https://alion.io/job/iris-software-generative-ai-lead","title":"Generative AI Lead","company":{"id":3800524,"name":"IRIS software","domain":"irissoftware.com","url":"https://alion.io/company/iris-software","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Pune, India","Delhi, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":52000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"pgvector","optional":false},{"name":"PoC Library","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-08-10T10:13:07Z","employer_posted_date":null,"last_verified_at":"2026-08-10T10:13:07Z","board_verified":false,"closed_at":null,"days_open":51,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":51},"description":"Role Overview : \n\nWe are looking for an experienced Lead Engineer (8 - 10 Years) with strong expertise in Python, AWS Cloud, Generative AI, and hands-on experience in RAG (Retrieval Augmented Generation), Agentic workflows, and building LLM-powered applications. The ideal candidate will lead design, architecture, and development of scalable AI solutions, mentor the team, and collaborate closely with product and architecture teams.\n\nKey Responsibilities : \n\n1. Architecture, Design & Technical Leadership : \n\n- Lead end-to-end design and development of GenAI-powered applications.\n\n- Ability to understand and translate customer requirement into scalable AI architectures and meaningful design leveraging cloud services.\n\n- Drive adoption of LLM orchestration frameworks (LangChain 1.0, LangGraph, OpenAI tools, custom agents).\n\n- Keep pace with technological evolution in Gen AI space, explore and set up PoC for better solutions.\n\n2. Generative AI Development : \n\n- Build RAG pipelines using vector databases, embeddings, and document indexing.\n\n- Design and implement Agentic workflows.\n\n- Implement vector search using PGVector, FAISS etc.\n\n- Create embedding pipelines, chunking strategies, metadata tagging, and retrieval optimizations, MCP.\n\n3. Python & Cloud : \n\n- Build backend services, API layers, and model-serving components in Python (Flask).\n\n- Understanding of AWS services such as ECS, API Gateway, S3, Bedrock, CloudWatch, SageMaker.\n\n- Performance and Security as first principles.\n\n4. Collaboration : \n\n- Lead a small team of engineers, conduct code reviews and design reviews.\n\n- Work with cross-functional teams Product, Architecture, Security, Data Engineering.\n\n- Ensure best practices in coding, testing, observability, and DevOps.\n\nRequired Skills : \n\n- Strong proficiency in Python (Flask, REST, async programming).\n\n- Deep hands-on experience with Generative AI and LLM-based applications.\n\n- Expertise in RAG development, embeddings, vector databases.\n\n- Experience with Agent frameworks (LangChain 1.0, LangGraph, ReAct, OpenAI Assistants, or custom agents).\n\n- Strong understanding of AWS/Azure/GCP Cloud architecture.\n\n- Experience with API development, microservices, and event-driven systems.\n\n- Familiarity with CI/CD pipelines, Docker, GitLab/GitHub Actions.\n\nMandatory Competencies : \n\n- Data Science and Machine Learning - Data Science and Machine Learning - Gen AI\n\n- Programming Language - Python - Flask\n\n- Beh - Communication\n\n- DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab, Github, Bitbucket\n\n- Cloud - AWS - AWS S3, S3 glacier, AWS EBS\n\n- Cloud - AWS - ECS\n\n- Data Science and Machine Learning - Data Science and Machine Learning - AWS Sagemaker\n\n- Development Tools and Management - Development Tools and Management - CI/CD\nSkills\nGenerative AI, Artificial Intelligence, Machine Learning, LLM, LangChain, OpenAI, Python, Cloud, VectorDB, RAG, Data Science","description_format":"text","description_chars":2921,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-26T08:01:01Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.553,"p_room":0.35,"age_days":50,"expected_fill_days":23,"reasons":["seen:50","velocity","win:tail"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/iris-software-generative-ai-lead","json_url":"https://alion.io/job/iris-software-generative-ai-lead.json","meta":{"generated_at":"2026-10-01T04:49:55Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4363,"day_limit":5000,"remaining_today":637,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}