At UNLOX®, we are redefining education by focusing on the experience of learning. Our belief — “Learning Must Be Easy” — drives us to create accessible, engaging, and life-changing learning journeys.
We are building India’s first complete AI-driven learning ecosystem, connecting learners, universities, and industry partners through intelligent, hands-on training. With innovations like AI Mentors (Blu), SmartLabs, and Edulet Tablets, we are reimagining how India learns.
Based in Bengaluru, UNLOX® is committed to helping learners unlock their potential and experience education the Unlox way.
The Opportunity
( Hybrid / Work From Home )
We are looking for a passionate, full-time Investment Banking & Stock Market Instructor to join our team. In this role, you will lead our Job Bridge Programs, guiding learners from core financial foundational concepts to advanced algorithmic trading, corporate valuations, and complex deal structuring.
If you are a finance professional, research analyst, or investment banker who loves teaching, mentoring, and breaking down real-world financial data into actionable, industry-ready skills, this is the perfect opportunity for you.
Key Responsibilities
Skills and Expertise Required
Technical Skills
Soft Skills
Experience & Background
Compensation
💰 Salary: ₹30,000 per month
Why Join UNLOX®
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 .
Founding Teams is an AI pre accelerator and talent platform. We help Founders hire engineers, designers and marketing talent for their AI startup.
About the Role
As our Lead DevOps Engineer, you’ll design, implement, and maintain scalable, reliable, and secure infrastructure and CI/CD pipelines. You’ll mentor a team of DevOps engineers, partner closely with development teams, and drive best practices around automation, monitoring, and incident response.
Key Responsibilities
Required Skills & Experience
Nice-to-Haves
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Summary
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Responsibilities
Qualifications
Schedule (US Shifts Only)
Eastern Time - 6:30 p.m. - 3:30 a.m. IST, Rotational Shifts
Pacific Time - 9:30 p.m. - 6:30 a.m. IST, Rotational Shifts
Logistical Requirements
Quiet and brightly illuminated work environment
Laptop with a Minimum of 8GB RAM, an i5 8th-gen processor
720P Webcam and Headset
A reliable ISP with a minimum speed of 100 Mbps
Smartphone
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