Senior AI Engineer AI / ML Jaipur 4+ years 2026-05-11 Odyssey - BOT

BOT Consulting; Jaipur; On-site; INR 4,500,000 - 7,500,000; Full time

Benefits offered by this job

Competitive salary

Health/wellness packages

Flexible work options

Job summary

BOT Consulting is seeking a Senior AI Engineer to lead design and development of AI-powered accelerators that streamline complex business workflows. The role focuses on building production-grade Agentic systems and orchestration frameworks to speed delivery, improve quality, and enable reuse across client engagements.

You will provide architectural leadership, collaborate with GCC client teams, and mentor engineers while shaping accelerator patterns, data pipelines, and safety rails.

Qualifications

• 4+ years of software engineering with 2–3 years in AI/LLM.
• Experience in consulting, platform engineering, or accelerator assets.
• Frontline experience with client-facing roles is desirable.
• Strong Python, CI/CD, and production systems skills.

Responsibilities

• Design, build, and maintain AI accelerators for complex workflows.
• Develop Agentic and workflow-automation solutions.
• Implement robust context-management strategies.
• Architect production systems with telemetry, failure-handling, and safety patterns.
• Build reusable accelerator frameworks.
• Establish development standards and reusable patterns.
• Partner with engineering and delivery teams to adapt accelerators to live projects.
• Contribute to documentation and onboarding for accelerator adoption.

Skills

Python

LLM frameworks

LangChain

Claude Code

Agentic design

RAG pipelines

Tools

Claude Code

Job description

We are seeking a Senior AI Engineer to lead the design and development of AI-powered accelerators that streamline and automate complex business workflows. This role centres on building reliable, production-grade Agentic systems and orchestration frameworks that improve speed, quality, and reusability across delivery and modernisation initiatives. The ideal candidate combines strong hands‑on engineering capability with architectural leadership, a Forward Deployment mindset, and a passion for enabling client teams through shared accelerators, assets, and patterns.

Key Responsibilities

Agentic System Development

• Design, build, and maintain AI accelerators that enhance productivity and reduce delivery effort across complex business workflows.
• Develop Agentic and workflow-automation solutions including multi-agent orchestration, task routing, supervisory agents, and tool-use pipelines.
• Implement robust context-management strategies including retrieval pipelines, memory stores, episodic context, and session-state control.
• Architect reliable production systems with evaluation loops, telemetry, failure-handling, and safety/guardrail patterns.
• Build reusable accelerator frameworks adaptable across multiple client and delivery contexts.
• Establish development standards, reference implementations, and reusable patterns that compress delivery timelines and eliminate guesswork.
• Partner with engineering and delivery teams to adapt accelerators to live projects and real-world scenarios.
• Contribute to documentation, training materials, and onboarding guidance for accelerator adoption across teams.

Technical Leadership

• Provide architectural guidance, mentorship, and code reviews for junior and mid-level engineers.
• Collaborate with product and delivery stakeholders to translate business workflows into automatable, scalable system designs.
• Advocate for reusable, forward-compatible design patterns and a culture of experimentation, evidence-based iteration, and shared learning.
• Embed directly with GCC client teams to deploy, configure, and operationalise AI accelerators in integration environments.
• Act as the technical bridge between Odyssey's core platform and client-side implementation — adapting accelerators to each GCC's toolchain, data landscape, and workflow context.
• Diagnose integration friction points in real-world deployments and feed learnings back into the core accelerator roadmap.
• Train and enable client engineers to own and extend accelerators independently, reducing long‑term dependency on central platform support.
• Collaborate with BOT's delivery and programme management teams to ensure AI accelerators are adopted with measurable impact — tracking time-to-value, usage quality, and reuse rates across engagements.

Requirements

Required:

Experience

• 4+ years of professional software engineering experience, with at least 2–3 years in applied AI / LLM systems.
• Experience in consulting, platform engineering, or accelerator-style reusable asset development.
• Prior involvement in data‑migration, modernisation, or analytics engineering programmes is a strong plus.
• Demonstrated experience in a Forward Deployment, Solutions Engineering, or embedded client‑facing technical role is highly desirable.

LLM & Agentic Systems

• Strong expertise in LLM‑based application development using frameworks such as LangChain, LangGraph, Semantic Kernel, or custom orchestration.
• Proven experience with Agentic design patterns including:
• Workflow graphs & supervisory agents
• Long-running task coordination
• Hands‑on proficiency with Claude Code — Anthropic's Agentic coding tool — to accelerate development of AI‑powered systems and accelerators.
• Ability to leverage Claude Code for end‑to‑end engineering tasks: scaffolding Agentic pipelines, writing and reviewing complex code, debugging production issues, and iterating rapidly on accelerator builds.
• Experience using Claude Code in team and enterprise environments, including MCP (Model Context Protocol) server integrations to connect Claude Code with internal tools, data sources, and workflows.
• Capability to train and guide other engineers on effective Claude Code usage patterns — maximising output quality, context management, and safe Agentic task execution.

Context & Retrieval Design

• Deep familiarity with RAG pipelines, embedding strategies, and retrieval quality evaluation.
• Experience with grounding, prompt‑context isolation, vector stores, and document indexing at scale.

Software Engineering Fundamentals

• Python (primary) — testing, packaging, dependency management, and CI/CD deployment patterns.
• Architectural design and code quality best‑practices for production AI systems.
• Experience designing observability and evaluation loops for AI workflows — telemetry, metrics, regression testing, and drift tracking.
• Integration experience with data platforms/warehouses, metadata systems, workflow tools, and REST/Microservices architectures.

Signs you may be a great fit

• Impact: Play a pivotal role in shaping a rapidly growing venture studio.
• Culture: Thrive in a collaborative, innovative environment that values creativity and ownership.
• Growth: Access professional development opportunities and mentorship.
• Benefits: Competitive salary, health/wellness packages, and flexible work options.

We specialize in building high‑performing, scalable Global Capability Centers, empowering businesses to achieve global success with efficiency and cultural integration.