Lead AI Engineer
Skills
About the role
Hybrid Bangalore 10–16 yrs Apply by Aug 13, 2026
Lead AI Engineer
Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.
Experience
10–16 yrs
Employment Type
Full-time
Openings
1 position
Apply By
Aug 13, 2026
Required Skills
Ruby on Rails
Job Description
Lead AI Engineer Bangalore · Full-time · Hybrid
About the Role The Lead AI Engineer will lead the data-science workstream, building and enriching the semantic/context layer and developing AI agents. This role will work primarily on the consumption and enrichment side of the catalog, using existing Knowledge Catalog APIs, and will mentor the Senior Data Scientist. The goal is to enhance catalog content and drive data quality improvements.
Key Responsibilities
Lead the development of the semantic/context layer and knowledge/context-management practices
Use existing Knowledge Catalog APIs for discovery and context/knowledge management
Build agents that enhance catalog content directly within Knowledge Catalog
Monitor and improve the data quality of the context layer
Design and apply an LLM-as-a-judge layer to validate agent outputs and catalog enrichments
Lead the design and development of the program's AI agents
Develop semantic-resolution/natural-language-to-context services for agent-mediated queries
Define ML pipelines for entity resolution, semantic matching, and automated ontology/catalog enrichment
Mentor the Senior Data Scientist and collaborate with Data Architects on catalog schema and query performance
Requirements
Have 10+ years of experience in data science/ML engineering, with at least 3 years in a lead capacity
Have hands-on experience consuming and enriching data catalogs/metadata platforms via APIs
Have strong experience building LLM-based agents and agentic workflows
Have experience with LLM-as-a-judge/evaluation, semantic search, and NLP/NLU
Have production experience with knowledge graphs/ontologies - entity resolution, semantic matching, metadata enrichment
Have strong hands-on skills with GCP Vertex AI and BigQuery, and ML pipeline orchestration
Have experience monitoring data quality at scale - anomaly, drift, and consistency detection
Be proficient in Python and graph/query languages
Good to Have
Have experience with the credit/lending or broader financial-services domain
Be familiar with GraphRAG, vector databases, and hybrid retrieval
Have experience with LangGraph, the MCP protocol, or similar agent frameworks
Hold a GCP Professional Machine Learning Engineer certification
At a Glance
Work ModeHybrid
EmploymentFull-time
Experience10–16 yrs
Openings1
LocationBangalore
DeadlineAug 13, 2026
[ Hiring process ]
What to expect
Four stages, typically completed within 2–3 weeks. We respect your time - every stage has a clear purpose and timely feedback.
STEP 0130 min
Screening Call
Introductory conversation with our talent team to understand your background and motivations.
STEP 0260–90 min
Technical Round
Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.
STEP 0345 min
Culture Fit
Conversation with practice leadership covering working style, ownership, and how you collaborate.
STEP 04Within 5 days
Offer
Formal offer with full compensation breakdown, start date, and onboarding plan.
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