{"id":145074,"url":"https://alion.io/job/databahn-ai-ai-technical-lead","title":"AI Technical Lead","company":{"id":7472,"name":"DataBahn.ai","domain":"databahn.ai","url":"https://alion.io/company/databahn-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","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":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":34},"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":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"RLHF","optional":false},{"name":"Transformers","optional":false},{"name":"FAISS","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Haystack","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Pinecone","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-08-28T07:28:29Z","employer_posted_date":null,"last_verified_at":"2026-08-28T07:28:29Z","board_verified":false,"closed_at":null,"days_open":50,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":50},"description":"You will be responsible for taking AI from prototype production, integrating it into high-scale data systems and customer- facing use cases.\nThe candidate will have responsibilities across the following functions:\nAI Systems and Agent Development:\nDesign and build AI agents for automating security, data engineering, and observability workflows.\nDevelop LLM-driven applications, including chatbot integrations and intelligent automation systems.\nImplement RAG (Retrieval-Augmented Generation) pipelines using vector databases.\nBuild systems for Prompt orchestration, Context and memory management and Tool usage and agent workflows.\nAI Platform and Model Engineering:\nFine-tune and optimise LLMs for domain-specific use cases (security, observability, IoT/OT).\nWork with transformer models, embeddings, and retrieval systems.\nExperiment with and implement Generative AI architectures and Reinforcement learning techniques (RLHF).\nBuild knowledge-driven AI systems using vector search and knowledge graphs.\nProduction Engineering and Deployment:\nDevelop APIs and backend services for AI inference and orchestration.\nIntegrate AI systems into data pipelines, connectors, and streaming architectures.\nDeploy and scale AI workloads using Docker, Kubernetes, and cloud platforms (AWS / Azure / GCP).\nOptimise systems for Latency, throughput, and Cost efficiency.\nPOC and Customer-Focused Development:\nWork closely with POC teams and customers to build AI-driven solutions.\nTranslate real-world use cases into production-ready AI workflows.\nRapidly prototype and iterate on AI features and agents.\nEnsure solutions are scalable and aligned with platform architecture.\nModel Performance and Optimisation:\nImprove model performance in terms of Accuracy, Context awareness and Domain adaptation.\nEvaluate and benchmark models and pipelines.\nMonitor and optimise inference performance and system reliability.\nCollaboration and Integration:\nCollaborate with Platform engineering teams for system integration, Product teams for feature definition and Customers and POC teams for real-world validation.\nBridge the gap between AI research and production engineering.\nKey Outcomes / KPIs:\nProduction deployment of AI agents and workflows.\nReduction in manual effort through automation.\nImprovement in model accuracy and system performance.\nFaster POC-to-production turnaround.\nAdoption of AI features by customers.\nPerformance metrics (latency, throughput, cost efficiency).\nRequirements:\nStrong programming skills in Python (mandatory); Go is a plus.\nHands-on experience with LLM integration, prompt engineering, RAG architectures and retrieval systems.\nExperience with vector databases like Weaviate, Pinecone, FAISS, or similar.\nFamiliarity with AI frameworks such as LangChain, LangGraph, LlamaIndex, Haystack, or similar.\nExperience with LLM fine-tuning and optimisation and Transformer models and embeddings.\nUnderstanding of Generative AI architectures and Reinforcement learning (RLHF) (preferred).\nExperience with PyTorch or TensorFlow.\nExperience building and deploying systems using Docker, Kubernetes, AWS / Azure / GCP.\nStrong understanding of APIs and backend systems, distributed systems and data pipelines.\nExperience in Cybersecurity, observability, or data platforms.\nExperience in High-scale data processing or streaming systems.\nExperience building AI agents or autonomous workflows.\nAbility to take solutions from prototype to production.","description_format":"text","description_chars":3445,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Log Management & Analytics","Security Operations"],"lifecycle":[{"event":"open","at":"2026-08-28T07:28:29Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 9","filings_12m":9,"filings_prev_12m":5,"green_card_filings_12m":0,"median_offered_wage_usd":157500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":3}],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.524,"p_room":0.45,"age_days":49,"expected_fill_days":30,"reasons":["seen:49","win:tail"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/databahn-ai-ai-technical-lead","json_url":"https://alion.io/job/databahn-ai-ai-technical-lead.json","meta":{"generated_at":"2026-10-17T10:47:13Z","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":14092,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":7472},"rest":"https://alion.io/mcp/rest/get_company?id=7472"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatabahn-ai-ai-technical-lead"},{"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%2Fdatabahn-ai-ai-technical-lead"},{"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%2Fdatabahn-ai-ai-technical-lead"},{"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/databahn-ai-ai-technical-lead\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatabahn-ai-ai-technical-lead"}]}