Role Title: AI/ML Engineer – GEO (GB03 / GB04) In-person interview at Pune
Sourcing Active on: 22nd August 2026
Working Days: 5 Days
Max NP: 30 days
Job ID: 7311
Job Location: Pune
Candidate Location: Any Location
Experience: 1–4 years
Total CTC: Confidential, ₹12–20 L (Fixed 80% · Variable 20%)
Working Model: In-Office
Positions Open: 5
About Role
- Key Skills: AI/ML, Generative AI, AEO, GEO, SGE, LLM
Roles & Responsibilities
- Design, develop, and deploy production-grade AI/ML and Generative AI solutions.
- Work on GEO, AEO, and SGE initiatives to improve visibility and discoverability across AI-driven search and generative interfaces.
- Optimize content, data, and digital experiences for AI-powered search, conversational queries, and LLM-based experiences.
- Develop solutions using LLMs, NLP, semantic search, embeddings, RAG, and vector databases.
- Analyze search intent, AI-generated responses, retrieval patterns, citations, and content discoverability to identify optimization opportunities.
- Build experiments and frameworks to measure the effectiveness of GEO/AEO strategies and AI search performance.
- Collaborate with Product, Engineering, Content, SEO, Marketing, and Business teams to translate business requirements into scalable AI solutions.
- Monitor model and solution performance and continuously improve accuracy, relevance, latency, and overall user experience.
Ideal Candidate
- Strong AI/ML Engineer profile with experience in GEO work.
- Mandatory (Experience 1): Must have 1+ years of experience in rank modelling for GEO.
- Mandatory (Experience 2): Must have 1+ year of experience in GEO (Generative Engine Optimization), AEO (Answer Engine Optimization), or SGE (Search Generative Experience), including optimizing for AI-driven search interfaces, conversational queries, and generative search experiences.
- Mandatory (Experience 3): Must have hands-on exposure to prompt engineering, embeddings, vector search, or RAG-based systems.
- Mandatory (Skills 1): Deep understanding of how modern search engines and AI-driven systems rank and generate responses, including semantic search and entity-based optimization.
- Mandatory (Skills 2): Exposure to AI/LLM ecosystems such as ChatGPT, Google Gemini, or similar platforms, including understanding of how responses are generated and ranked.
- Mandatory (Skills 3): Understanding of content structuring for AI consumption (schema, context building, knowledge representation).
- Mandatory (Education): B.Tech or Dual degree (BTech and MTech or Integrated MSc/MS) from Tier 1 Engineering Institutes (IITs, NITs, VIT, BITS, DTU, NSUT).
- Mandatory (Company): Only Top product companies with high scale (Tier2 companies won’t be considered).
- Mandatory (Note): Output of Candidate's work on AI Engineering for GEO should also be mentioned in resume.
Interview Process
- 3 Rounds
- Underwriting Call
- Criminal Check
- HR Discussion
Screening Questions
- The candidate is expecting less than their current CTC. What is the reason?
- The candidate is expecting a hike above 40%. What is the reason?
- Please share your 10th, 12th and graduation percentages (%).
- What’s your Date of Birth (DD/MM/YYYY)?
- What’s your expected CTC (fixed only)?
- Are you okay for F2F (Pune)?
Pay: ₹1,200,000.00 - ₹2,000,000.00 per year
Application Question(s):
- How many years of total experience do you have?
- What is you present location: City & State
- Are you available for an in-person interview at Pune?
- How many years of AI/ML Engineer – GEO (GB03 / GB04) experience do you have?
Work Location: In person
