Founding Teams is a stealth AI Tech Incubator & Talent platform. We are supporting the next generation of AI startup founders with the resources they need including engineering, product, sales, marketing and operations staff to create and launch their product.
The ideal candidate will have a passion for next generation AI tech startups and working with great global startup talent.
About the Role:
We are looking for an experienced and highly motivated Lead Machine Learning Engineer to drive the development, deployment, and optimization of machine learning solutions. As a technical leader, you will collaborate closely with data scientists, software engineers, and product managers to bring cutting-edge ML models into production at scale. You'll play a key role in shaping the AI strategy and mentoring the machine learning team.
Responsibilities:
Required Skills & Qualifications:
Preferred Skills:
Tools & Technologies:
KairoPact Private Limited
Location: Remote-first (India) · Level: Senior · Type: Full-time
Reports to: CTO · Dotted line: COO
About KairoPact
KairoPact delivers AI-augmented strategy and programme consulting to NGOs, donors, and CSR organisations across South Asia, Africa, and the Middle East. We build proprietary AI infrastructure that amplifies human judgement — giving experienced practitioners research, synthesis, and structured analysis at a fraction of traditional consulting cost and time.
The Role
You will join as a Senior AI Engineer on the Axon™ platform — KairoPact’s internal AI intelligence engine — with a clear pathway to Lead AI Engineer as you grow into the role.
The role spans the full journey: from implementing technical strategy and architectural standards set by the CTO, to progressively owning day-to-day technical execution. You’ll work across the entire stack — agent pipelines, LLM routing, observability, retrieval, and data engineering.
This is not a role for someone who wants close management. It suits an engineer who is ready to own, and who sees a structured ramp-up as a springboard rather than a safety net.
What You’ll Do
● Translate CTO architectural direction into actionable engineering — then progressively take greater ownership of those decisions as you build deep familiarity with the platform.
● Drive full-stack delivery with the team — owning end-to-end implementation, not just individual components.
● Design and evolve multi-agent pipelines — sequenced workflows with conditional routing, structured outputs, and human review gates.
● Own the LLM routing layer — model selection, fallback logic, per-call cost tracking, and provider management across frontier models.
● Drive end-to-end observability — every agent step, decision, token cost, and failure mode instrumented and reproducible.
● Build knowledge retrieval systems — semantic search with structured filtering, namespace isolation, and data privacy controls.
● Own backend data engineering — schema design, migrations, idempotency patterns, and multi-tenant isolation.
● Lead code review and engineering standards; mentor and unblock the junior AI Engineer.
● Keep the codebase and documentation in tight sync with the architecture specification.
What We’re Looking For
Required
● 4+ years of software engineering experience, with at least 2 years focused on production AI/ML systems.
● Proven experience owning or leading delivery on an AI product or platform — not just contributing to one.
● Deep hands-on experience with agentic AI systems — multi-step pipelines, tool use, structured orchestration, multi-agent coordination.
● Strong Python: async programming, type annotations, clean architecture, testing discipline.
● Experience with LLM routing or orchestration frameworks (e.g. LangChain, LlamaIndex, DSPy, or equivalent).
● Able to engage with architectural decisions — ask good questions, understand trade-offs, and implement accurately from a technical spec.
● Strong written communication — clear thinker who can document decisions and communicate trade-offs concisely.
Preferred
● Experience with LLM observability tooling (LangSmith, Weights & Biases, Helicone, or similar).
● FastAPI or similar async Python web frameworks.
● Vector databases and hybrid retrieval architectures.
● Docker and container-based development workflows.
● Prior experience as a tech lead, staff engineer, or founding engineer.
● Interest in the NGO, development sector, or social impact space.
What We Offer
● Early, meaningful responsibility for a technically sophisticated platform — with a clear, named progression to Lead AI Engineer, not a vague promise.
● Direct access to the CTO for architecture decisions, code review, and engineering craft — without layers in between.
● The chance to mentor a junior engineer and shape how the team works.
● Exposure to strategy consulting in the NGO/CSR sector — work that has real-world impact.
● Fully remote, async-first — we care about output, not hours.
KairoPact is an equal opportunity employer. We actively welcome applications from candidates of all backgrounds, including those underrepresented in the technology industry.
To apply, send your CV, a link to your GitHub profile or equivalent work samples, and a brief note on why this role to .
Eligibility:
At StatusNeo, we are committed to redefining the way businesses operate. As a leader in digital transformation, we leverage cutting-edge technologies and innovative strategies to empower organizations around the globe. Our partnerships with industry giants and our commitment to continuous learning and improvement provide an unparalleled platform for professional growth. Embrace a career at StatusNeo, where we value diversity, foster a hybrid work culture.
Responsibilities:
Qualifications:
Why Build Your Career With Us?