SR Agentic AI Engineer

Company Description

Assent empowers manufacturers and distributors with the intelligence to build sustainable products, meet global compliance requirements and drive better business outcomes.

At the center of our offering is the Assent Network, the industry’s most complete Product Intelligence Network, bringing together trusted parts and supplier intelligence, advanced AI and deep regulatory expertise to help organizations identify risk, make informed decisions and stay ahead of evolving requirements.

Trusted by more than 1,000 customers worldwide, Assent helps organizations stay ahead of evolving regulations across areas including responsible sourcing, human rights due diligence, PFAS reporting, Digital Product Passports, and other emerging requirements. Our platform empowers manufacturers to navigate change with confidence while building stronger supplier relationships and driving measurable business value.

With more than 1000 team members across India, North America, Malaysia, the European Union, and Kenya, Assent brings together global expertise, diverse perspectives, and a shared commitment to innovation. Our hybrid work model enables teams to collaborate across regions while staying connected to the communities where they live and work. As a certified B Corporation, we meet rigorous standards of social and environmental performance, transparency, and accountability, reflecting our commitment to creating lasting value for our customers, our people, and the planet.

People First. Technology Forward.

Our commitment to People, Culture & Community (PCC) is rooted in building a diverse, inclusive, and high-performing team. We recruit and retain team members with a range of backgrounds, experiences, and perspectives, while fostering a culture of belonging where all Assentees are respected, supported, and empowered to contribute.

As we continue to embed AI into how we work, we do so thoughtfully, enhancing human potential, supporting better decision-making, and prioritizing appropriate oversight, privacy, and fairness.

At Assent, we value your privacy and are committed to maintaining transparency in how we handle your personal information. As part of our talent acquisition and management processes, we may use AI technologies to support activities such as resume screening, candidate communication, and talent analytics.

Job Description

Position Summary

Assent is building a governed agentic AI platform that takes use cases from business idea through to production — deployed as governed services accessible across the company. You’ll work directly with business stakeholders across Sales, Customer Success, Enterprise Systems, and other functions to identify high-impact opportunities, design and build the agents that solve them, and ship them into a governed catalog where they become the new baseline for the rest of the organization.

This is not a classical ML role and not a traditional software engineering role. You’ll spend your time designing agent loops, orchestrating tools and sub-agents, building RAG pipelines grounded in real enterprise data, and working with non-technical stakeholders to translate a business problem into a production-ready agentic solution — with observability, cost control, and governance built in from day one.

Key Requirements & Responsibilities 

Responsibilities include:  

• Design and build production agent systems: tool calling, sub-agent orchestration, memory and context management, multi-step reasoning workflows — using frameworks such as LangChain, LangGraph, CrewAI, or MCP-based architectures.

• Partner directly with business unit stakeholders to scope use cases: understand the problem, identify the right pattern, and co-design the solution rather than working purely from a written spec.

• Build and tune RAG pipelines grounded in Assent’s enterprise data: Confluence, Jira, Snowflake, Salesforce — including retrieval strategy, embeddings, and evaluation for relevance and faithfulness.

• Build evaluation harnesses and observability into every agent you ship: accuracy, hallucination rate, latency, and cost, with monitoring that holds up in production.

• Take solutions from proof-of-concept to production deployment, working within established patterns for authentication, cost metering, and logging.

• Contribute reusable patterns back into a shared library so that what you build for one team becomes accessible to the next — every solution should raise the floor for the whole organization.

• Work closely with the platform and integration team to ensure what you build deploys cleanly into the governed catalog rather than living as a standalone one-off.

Qualifications

Your Knowledge, Skills and Abilities

We strongly value your talent, energy and passion. It will also be valuable to Assent if you have the following qualifications

Required

• 5+ years of software engineering experience, with at least 2 years building production LLM-powered or agentic systems — not POCs or portfolio projects, shipped and operated in production.

• Hands-on experience with at least one agentic framework: LangChain, LangGraph, CrewAI, AutoGen, or MCP-based orchestration.

• Strong Python fundamentals; comfortable building APIs (FastAPI or similar) that expose agent capabilities to other systems.

• Experience with RAG architecture end to end — chunking, embeddings, vector databases (Pinecone, Qdrant, Chroma, or similar), and retrieval quality tuning.

• Cloud-native deployment experience on AWS (ECS, Fargate, Lambda, Bedrock) — you don’t need to own infrastructure, but you need to ship into it comfortably.

• Demonstrated ability to work directly with non-technical stakeholders to scope and define a use case — this is as important as the technical skill set.

• A clear point of view on what makes an agentic system production-ready: observability, cost control, failure handling, and a real evaluation methodology, not just a working demo.

Strong plusses

• Experience with LLM observability and evaluation tooling: Langfuse, LangSmith, Arize, or MLflow.

• Experience with MCP (Model Context Protocol) or A2A agent-to-agent communication patterns.

• Background contributing to or designing reusable architecture patterns adopted across teams — you think in patterns, not just point solutions.

• Experience in a small or fast-moving team where you helped establish practices rather than inheriting them.

Additional Information

Life at Assent

Wellness: We believe that you and your family’s well being is important. As a result, we offer vacation time that increases with tenure, comprehensive benefits packages (details vary by country), life leave days and more.

Financial Benefits: It’s not all about the money – well, it’s a little about the money. We understand that financial health is important and we offer a competitive base salary, a corporate bonus program, retirement savings options and more.

Life at Assent: There is purpose beyond your work. We provide our team members with flexible work options, volunteer days and opportunities to get involved in corporate giving initiatives.

Lifelong Learning: At Assent, curiosity is not only valued but encouraged. You will receive professional development days that are available to you the day you start.

At Assent, we are committed to growing and sustaining an environment where our team members feel included, valued, and heard. Our diversity and equal opportunity practices are guided and championed by our Diversity and Inclusion Working Group and our Employee Resource Groups (ERGs).

Our commitment to diversity, equity and inclusion includes recruiting and retaining team members from diverse backgrounds and experiences, and fostering a culture of belonging where all team members are included, treated with dignity and respect, promoted on their merits, and placed in positions to contribute to business success.

If you require assistance or accommodation throughout any part of the interview and selection process, please contact and we will be happy to help.  

We use AI to support parts of our recruitment process, such as note-taking and initial shortlisting based on job-related qualifications. AI does not make hiring decisions. All candidates will speak with a real person, and final decisions are always made by our recruitment team.