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Mumbai · On-site · 4-7 Yrs · Oct 12
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
Location: Mumbai - Looking for Mumbai-based candidates only.
Responsibilities
- Design and build AI systems for personalized career guidance, including:
- Skill inference from user inputs (profiles, assessments, conversations)
- Career matching and recommendation engines
- Learning and career pathway modeling
- Develop and improve LLM-based workflows (prompting, chaining, retrieval, evaluation)
- Build data pipelines combining user behavior, labor market data, education data, and skills taxonomies
- Implement evaluation metrics for relevance, accuracy, bias, and user outcomes
- Optimize models for scalability, latency, and cost as user volume grows
- Collaborate closely with product, design, and domain experts in education and careers
- Minimum 4 years of work experience.
- Strong foundation in machine learning and applied AI
- Hands-on experience with LLMs (e.g., OpenAI, Anthropic, open-source models)
- Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Experience with:
- Recommendation systems, ranking, or personalization
- NLP or conversational AI
- Ability to translate ambiguous human problems into structured AI solutions
- Deployment and maintainance on Azure platform
- Comfort working in a fast-moving, early-stage environment
- Experience with RAG systems, embeddings, vector databases
- Familiarity with career, education, or skills data (e.g., O*NET, ESCO, labor market datasets)
- Exposure to bias, fairness, or explainability in AI systems
- Experience deploying models into production (APIs, monitoring, iteration loops)
- Purpose orientation: You care about real-world impact, not just model performance
- Systems thinking: You optimize end-to-end outcomes, not isolated components
- Data-driven mindset: You define success with metrics (accuracy, engagement, outcome improvement)
- User empathy: You understand that behind every query is a young person making a high-stakes decision
- Directly shape how users receive career guidance at scale
- Contribute to reducing career mismatch and wasted education spend
- Help build an AI system that improves outcomes, not just engagement
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Job application FAQ
Last updated 26 October 2026
- How do I apply for Senior Full stack AI Engieer at ReachIvy?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. ReachIvy may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Full stack AI Engieer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Full stack AI Engieer remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Senior Full stack AI Engieer role at ReachIvy?
- This is a senior Senior Full stack AI Engieer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.