Lead Software Engineer - Machine Learning
Freshworks•3h ago
Bengaluru, inOnsiteFull-timeMid Level6+ yrs exp
Top focus
Software EngineerMl EngineerSoftware Engineer IiSenior Ml Engineer
- Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use
- quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&P Global
- Sony Music, trust Freshworks’ customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world. Fresh vision. Real impact. Come build it with us.
- As a Machine Learning Engineer in the Agentic AI team, you will be at the forefront of the next paradigm shift in artificial intelligence. You will transition from static models to building autonomous, goal-driven intelligent agents capable of dynamic reasoning, tool execution
- complex workflow orchestration. Your role is to bridge the gap between bleeding-edge generative AI research and enterprise-scale, production-ready agentic systems. Impact You Will Create Productionize Autonomous Systems: Serve as the critical link translating advanced research in LLMs, multi-agent frameworks
- cognitive architectures into highly reliable, product-ready, enterprise-scale implementations. Scale Multi-Agent Workflows: Build and deploy robust ML infrastructures, runtime environments
- data pipelines engineered to orchestrate and execute millions of autonomous agent decisions with low latency, high efficiency
- safety guardrails. Architect Next-Gen AI Frameworks: Drive technical alignment by designing scalable agentic frameworks from the ground up, establishing best practices for prompt engineering frameworks, memory systems
- tool-use integration across the organization. Roles & Responsibilities Agentic Framework Implementation: Collaborate with AI Researchers and Data Scientists to translate complex reasoning loops (e.g., ReAct, Reflection, Tree of Thoughts) and experimental algorithms into clean, production-grade code. End-to-End Agent Architecture: Design, build
- manage comprehensive agent pipelines, including state management, long/short-term vector memory systems, automated tool-calling integrations
- dynamic feedback loops. High-Performance Service Delivery: Develop and deploy extensible, scalable API microservices optimized to minimize latency during heavy token generation, parallel agent execution
- high-concurrency traffic loads. Operational Telemetry & Evaluation: Design and implement robust tracking frameworks to monitor agent drift, hallucination rates, cost/token efficiency
- multi-step execution accuracy to ensure systemic reliability. Strategic Ecosystem Collaboration: Architect foundational AI primitives from scratch and liaise with cross-product architects to ensure seamless integration of agentic capabilities into existing product ecosystems. Prototyping & LLM Benchmarking: Lead Proof of Concept (POC) initiatives utilizing diverse tech stacks, open-source orchestrators (e.g., LangGraph, AutoGen, CrewAI)
- custom vector infrastructures to validate optimal solutions for complex business workflows. Lifecycle Ownership: Independently own the full lifecycle of feature delivery—from alignment with product teams on agent objectives to final production deployment, guardrail reinforcement
- continuous optimization.
- Skills & Competencies Production Agentic Engineering: Proven capability in translating raw LLMs/LMMs into reliable, stateful
- autonomous software applications with deterministic guardrails. LLMOps & Agent Evaluation: Deep expertise in lifecycle management for generative models, including fine-tuning, retrieval-augmented generation (RAG) optimization, prompt versioning
- routing architectures. Distributed State & API Design: Strong distributed systems architecture skills, specifically in managing asynchronous workflows, message queues
- low-latency API microservices required for multi-agent coordination. Cognitive Telemetry: Proficiency in establishing monitoring frameworks for tracking agent reasoning paths, tool execution success rates, API cost metrics
- user-intent alignment. Technical AI Leadership: Ability to execute rapid prototyping with emerging AI stacks, benchmark foundation models, evaluate vector databases
- drive cross-functional alignment. Qualifications Experience: 6–9 years of professional experience in software engineering and machine learning development, with recent hands-on experience deploying LLM-based or agentic systems into production. Track Record: A proven history of successfully building, productionizing
- maintaining large-scale Machine Learning solutions and scalable backend architectures. Education: Degree in Computer Science, Artificial Intelligence, Data Science
- a related quantitative field.
- At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose
- passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions
- ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities
- business. Fresh vision. Real impact. Come build it with us.
Required skills
Machine LearningLLMAPIDistributed SystemsData PipelinesCognitive ArchitecturesMicroservicesPrototypingTelemetrySoftware Engineering