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Rekruton Global IT Services
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Ahmedabad · Hybrid · 1-3 Yrs · Oct 7
2 open roles0 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
Technical Skills & Technology Stack
Responsibilities
- Lead the design and implementation of complex AI systems spanning models, retrieval, tools, agents, data, APIs, and existing services.
- Own AI capabilities end-to-end from technical discovery and architecture through deployment, production operations, and continuous improvement.
- Design scalable RAG and retrieval architectures, context and memory strategies, agent/tool workflows, and model-provider integration patterns.
- Drive model and architecture decisions using systematic evaluation of quality, latency, reliability, security, scalability, and cost.
- Define evaluation strategies, golden datasets, regression suites, observability, and operational SLOs for production AI systems.
- Design resilience patterns including fallbacks, caching, retries, human review, failure recovery, and safe degradation.
- Identify and build shared components that should be standardized across pods rather than repeatedly implemented.
- Lead technical design reviews, document architecture and trade-offs, and partner with Staff Engineers/Solution Advisory Board on cross-platform implications.
- Mentor AI Engineers I/II and raise engineering quality through code/design reviews and technical coaching.
- Evaluate emerging models, protocols, frameworks, and platform capabilities and recommend adoption when they create measurable value.
- Programming & Systems: Advanced Python and strong software/system design fundamentals; ability to integrate with Java or JavaScript/TypeScript services as needed.
- Data: Strong SQL, Snowflake or equivalent data platforms, data pipelines, structured/unstructured data, and retrieval-oriented data design.
- Generative AI / LLMs: Deep hands-on experience with multiple model providers, tool/function calling, structured generation, context engineering, and model-selection strategies.
- AI Architecture: Production RAG, vector/hybrid search, ranking, agents, tool orchestration, context/memory patterns, and human-in-the-loop workflows.
- Protocols & Frameworks: LangGraph/LangChain/LlamaIndex or equivalent; MCP/tool integration patterns; ability to design abstractions independent of individual frameworks/providers.
- Cloud & Platform: AWS or equivalent, containers, CI/CD, service observability, distributed system fundamentals, and production operations.
- Production AI: Evaluation frameworks, tracing/observability, guardrails, security, caching, fallbacks, latency/cost optimization, and failure-mode analysis.
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Job application FAQ
Last updated 31 October 2026
- How do I apply for AI Engineer III at Rekruton Global IT Services?
- 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. Rekruton Global IT Services may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Engineer III 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 AI Engineer III remote or on-site in Ahmedabad, Gujarat?
- This listing is marked hybrid with location Ahmedabad, Gujarat. Confirm details on the job description before applying.
- What skills matter for this AI Engineer III role at Rekruton Global IT Services?
- This is a mid-level AI Engineer III role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.