Strategic Partnerships Associate – AI & Platform Partnerships

Job Description: Technical Program Associate – AI & IT

Role Title: Technical Program Associate – AI & IT

Location: Bangalore, India (Fully On-site)

Experience: 1–2 Years (Early-career professionals or high-potential recent graduates)

Employment Type: Full-time

About the Role

We are a mission-driven organization building and deploying advanced Artificial Intelligence applications and modern IT infrastructure to drive social impact. Our technology work ranges from developing state-of-the-art AI prototypes and internal tools to managing organizational cloud infrastructure, data security, and stakeholder platforms.

We are looking for a sharp, organized, and proactive Technical Program Associate to join our team on-site in Bangalore. In this role, you will be the connective tissue across engineering, design, infrastructure, hiring, and operations. You will track multi-track tech initiatives, coordinate between developers and stakeholders, document decisions from critical discussions, and ensure projects move smoothly from concept to execution.

Key Responsibilities

1. Tech Project Coordination & Sprint Tracking

Project & Milestone Tracking: Coordinate day-to-day deliverables across small development teams working on AI models, prototypes, and internal applications.

Meeting Facilitation & Action Tracking: Join technical standups, architecture syncs, and stakeholder meetings; take structured notes, capture key decisions, and follow up on action items.

Prototyping & Product Feedback: Participate in design reviews, test early-stage AI builds and prototypes, and help log feedback for engineering teams.

2. IT Infrastructure & Security Coordination

Asset & Access Tracking: Help track cloud infrastructure, SaaS subscriptions, hardware inventory, and system access permissions.

Security & Compliance Support: Assist in maintaining security checklists, organizing audit documentation, and tracking standard IT operating procedures.

3. Operations, Contracts & Hiring Support

Vendor & Contract Tracking: Coordinate with external technology vendors, SaaS platforms, and consultants; track service agreements, renewals, and invoice workflows.

Hiring Pipeline Support: Assist in screening candidate applications, coordinating technical assessments, and scheduling interviews for engineering and IT roles.

Stakeholder & Fundraising Materials: Help assemble project updates, technical summaries, architecture briefs, and presentation decks for donors and partners.

What We Are Looking For

Experience: 1–2 years of experience in project coordination, tech operations, or business analysis in a fast-paced environment (startups, tech-driven non-profits, or engineering teams).

Technical Curiosity: A strong interest in AI and modern technologies. You do not need a specific engineering degree or coding background, but you must be comfortable and quick at understanding technical concepts.

Strong Organizational Skills: Exceptional ability to track multiple parallel initiatives, maintain clear documentation, and ensure tasks reach completion.

Clear Communication: Excellent verbal and written communication skills—able to turn fast-moving discussions into clean, actionable summaries.

Work Arrangement: Fully on-site at our office in Bangalore.

Why Join Us?

Meaningful Impact: Work on advanced AI applications and modern IT infrastructure directly applied to real-world social impact.

Broad Scope & Rapid Learning: Gain hands-on exposure across the full technology lifecycle—from architecture and prototypes to contracts, hiring, and stakeholder engagement.

Collaborative Environment: Work closely with technical leads and cross-functional teams in a fast-moving, high-ownership setting.

AI / Backend Engineer — Remote (India / Overseas)

Company: Ink'd

Compensation: $1,500–$2,500 USD/month, depending on experience

Type: Independent contractor, long-term opportunity

Ink'd is building a voice-first AI platform for residential real estate transactions. Our AI assistant allows real estate agents to generate contracts, automate workflows, and complete transaction documentation through natural conversation.

We're looking for a highly capable AI/backend engineer to help scale and maintain our production platform.

Responsibilities

• Build and maintain production AI agent workflows
• Develop integrations with third-party APIs and services
• Work with LLMs, structured data extraction, and document generation
• Troubleshoot production systems and improve reliability
• Build scalable backend services and maintain databases
• Collaborate directly with the founder and engineering team

Technical experience

• Python, FastAPI, Node.js, and REST APIs
• LLM APIs, tool calling, and agent orchestration
• PostgreSQL and cloud infrastructure
• GitHub, CI/CD, debugging, and deployment
• Experience with voice AI, WebSockets, or document processing is a major plus

What we're looking for

Someone who has independently shipped production software, can troubleshoot unfamiliar systems, communicates clearly, and takes ownership of their work.

Please include your GitHub, two examples of production systems you've built, your specific contributions, monthly compensation expectations, and availability.

About the Company

The client is revolutionising the way businesses operate through cutting-edge technological solutions. Their focus is on developing intelligent agents and agentic workflows that automate processes and eliminate the need for human effort wherever possible. By leveraging

advanced AI and machine learning, they create systems that enhance productivity and drive efficiency.

Their expertise extends to the fintech, healthcare and medical technology sectors, where they develop innovative solutions that improve patient outcomes and streamline medical operations.

From medical devices to healthcare platforms, their work sits at the intersection of technology and medicine, pushing the boundaries of what's possible. The team is dedicated to continuous learning and growth, ensuring the team members are always at the forefront of the tech landscape.

About the Role

This is a senior, hands-on engineering role at the heart of our product team. You will be one of the most technical people in the room — setting the architecture for our real-time voice AI

agents and building the hardest parts of it yourself. From the systems that power live conversations to the interfaces our clients rely on, you will own how the product is engineered end to end.

We are looking for a genuine lead full-stack engineer with the depth to make architecture decisions that hold up as we scale, and the appetite to still be in the code every day. You should be as comfortable designing the backend services behind a live voice agent as you are shaping a clean interface on top of them — and comfortable being the person others turn to when something is hard.

You will work directly with the founder and product leadership on a fast-moving product, with real influence over technical direction. This is a role for someone who wants ownership at the level of "how the whole thing is built," not just individual features — and who raises the bar for

everyone around them.

What You'll Own

Set the technical direction

• Own the architecture of our core systems — the real-time voice agents, backend
• services, data and APIs — making the decisions that keep the product fast, reliable and scalable as it grows.
• Lead the hardest engineering problems and solve them personally.
• Establish engineering standards — code quality, review practices, testing and technical patterns that the team builds to.
• Drive technical strategy with the founder and product leadership — shaping the roadmap, flagging risk early, and turning product ambition into a sound technical plan.

Build the product end to end

• Design, build and ship features across the stack — backend services, APIs and front-ends — owning them from idea to production.
• Build the client-facing surfaces — dashboards, review tools and configuration interfaces that let our clients run and trust the product.
• Design and evolve the data models and APIs that hold up as we scale across clients.

Make it reliable and fast

• Own production quality — put the monitoring and alerting in place so issues are caught before clients feel them, and performance stays within target.
• Care about performance — find and fix bottlenecks across the stack.
• Build for correctness — put the testing and evaluation in place that keeps the product behaving predictably as it changes.

Lead through the team

• Mentor and grow engineers — through code review, pairing, and setting a technical example others learn from.
• Multiply the team's output — unblock others and lift the overall quality of the codebase.
• Take features from ambiguity to done — turn a rough product goal into a shipped, working capability with minimal hand-holding, and help others do the same.

What We're Looking For

• 8+ years of professional software engineering experience, with significant depth across backend and a track record of owning systems, not just features.
• Strong backend engineering, ideally in Python — building and scaling production services and APIs..
• Proven architecture and system-design ability — you have designed systems that scaled, and can reason clearly about trade-offs.
• Solid fundamentals across APIs, databases and cloud infrastructure.
• Experience building real-time and/or AI-powered products — or clear, demonstrable ability to lead in this area.
• A history of technical leadership — setting standards, mentoring engineers, and being trusted with the hardest problems — while remaining hands-on.
• Excellent communication and a genuine ownership mindset — someone who can be handed an ambiguous, high-stakes problem and be trusted to see it through.

Nice to Have

• Experience working with AI / large language models in production.
• Experience with voice or other real-time products.
• Exposure to healthcare, fintech, or other regulated / high-stakes domains.
• Experience as an early or senior engineer in a startup, where you set direction and wore many hats.

About the Role

• We're hiring a Partnerships Manager to drive revenue through our cloud and AI partner ecosystem. This is a
• sales-oriented alliances role — we need someone who has already built relationships with Field Sales Reps
• (FSRs) and Account Executives at Google Cloud, AWS, or Azure, and has a track record of converting
• those relationships into closed deals. You'll shape how we approach partnership-led sales strategically, not
• just manage program operations.

What You'll Do

• Build and leverage relationships with FSRs and Account Executives at Google Cloud, AWS, and

Azure to generate qualified pipeline

• Drive co-sell motions end-to-end — from partner-sourced lead to closed deal

• Define and execute our partnership-led sales strategy, advising leadership on where and how to

prioritize partner channels

• Identify and pursue joint-selling opportunities with hyperscaler account teams

• Represent the company in partner-facing sales conversations and deal reviews

• Track partner-sourced pipeline and revenue, and report on channel performance to leadership

• Work around partner-led sales incentives, collaborating with external partnership teams for funding

initiatives

• Expand our footprint within the Google Cloud, AWS, and Azure partner ecosystems by building new

FSR/AE relationships

What You Need

• 6–8 years of direct experience in partnership/alliance roles within the cloud ecosystem

• Demonstrated track record of closing multiple deals through Google Cloud, AWS, or Azure partner

networks

• Established relationships with FSRs and Account Executives at one or more hyperscalers

• Strong understanding of co-sell motions, deal registration, and partner-sourced pipeline management

• Ability to advise leadership on partnership-led go-to-market strategy, not just execute existing

programs

• Strong sales acumen and comfort owning revenue-linked outcomes

• Excellent relationship-building and stakeholder communication skills

Nice to Have

• Experience working with Partner Development Managers/Executives in AI-first partner ecosystems

like Anthropic and OpenAI

• Experience with partner certification programs (Anthropic Claude Partner Network, AWS APN, Azure,

GCP)

Who You Are

• A relationship-first operator who can open doors within hyperscaler sales teams

• Commercially minded — you think in terms of pipeline, deal velocity, and closed revenue

• A strategic thinker who can shape how the company approaches partnership-led sales, not just follow

a playbook

• Comfortable operating with high autonomy and ownership of outcomes

Skills: Partner Sales, Co-sell, Channel Partnerships, Google Cloud Partner Network, AWS Partner Network,

Microsoft Azure Partner Network, Deal Registration, Pipeline Management, Strategic Alliances, GTM

Strategy

Job Description – Channel Partner Department: Business Development / Partnerships Designation: Channel Partner Location: Bangalore / Bengaluru Employment Type: Full-time Experience: 2–6 years Industry: Fintech / Financial Services / Investments About the Role

We are looking for a driven and relationship-oriented Channel Partner to build, manage, and grow our network of strategic channel partners. The role will involve identifying potential partners, establishing strong business relationships, onboarding them, and driving revenue through partner-led business. The ideal candidate should have strong communication and relationship-management skills, a business development mindset, and an understanding of the financial services or fintech ecosystem.

Key Responsibilities

1. Partner Acquisition

* Identify and onboard new channel partners aligned with the company's business objectives. * Build a strong pipeline of prospective partners through market research, networking, referrals, and direct outreach. * Conduct partner meetings, presentations, and product/business discussions. * Evaluate partner potential based on market reach, customer base, business capability, and revenue potential.

2. Partner Relationship Management

* Develop and maintain long-term relationships with existing channel partners. * Act as the primary point of contact for partners and address their business and operational requirements. * Understand partner needs and identify opportunities for deeper collaboration. * Conduct regular partner reviews and business discussions to drive engagement and productivity.

3. Business & Revenue Growth

* Drive business generation through the channel partner network. * Set and track partner-wise business targets and performance. * Identify opportunities to increase partner contribution and customer acquisition. * Develop initiatives to improve partner activation, productivity, and retention. * Work closely with internal sales and business teams to ensure timely execution and closure of opportunities.

4. Partner Enablement * Ensure partners have a clear understanding of the company's products, processes, and value proposition. * Coordinate product training, onboarding sessions, and sales enablement initiatives. * Provide partners with relevant product information, marketing material, and sales support. * Gather market and partner feedback and share actionable insights with internal teams.

5. Market Development * Identify new markets, partner segments, and business opportunities. * Track competitor activity, market trends, and partner expectations. * Build a strong understanding of the fintech and financial services ecosystem. * Develop strategies to expand the partner network and increase market penetration.

6. Cross-functional Collaboration

* Work closely with Sales, Product, Operations, Marketing, Compliance, and Customer Success teams. * Coordinate partner onboarding and ensure documentation and compliance requirements are completed. * Resolve partner-related operational issues by coordinating with relevant internal stakeholders. * Maintain accurate partner data, pipeline updates, and business reports.

7. Key Performance Indicators (KPIs)

* Number of new partners onboarded * Partner activation and productivity * Partner-generated revenue/business volume * Revenue contribution per partner * Partner retention and engagement * Conversion rate of partner-generated leads * Achievement of monthly/quarterly business targets * Expansion of the active partner network

Requirements *

2–6 years of experience in Channel Sales,

Partner Management, Business Development,     Partnerships, or Relationship Management. * Experience in **fintech, financial services, investments, lending, wealth management, insurance, or related industries** is preferred. * Proven ability to build and manage external business relationships. * Strong communication, negotiation, and presentation skills. * Ability to identify business opportunities and convert them into partnerships. * Strong commercial understanding and target-oriented approach. * Comfortable working in a fast-paced and entrepreneurial environment. * Good analytical and problem-solving skills. * Willingness to travel for partner meetings and business development, when required.

What We Are Looking For

* Strong ownership and execution mindset. * Relationship builder with the ability to establish trust with partners. * High energy and proactive approach to business development. * Ability to work independently and manage multiple partner relationships. * Strong negotiation and stakeholder-management capabilities. * Customer and partner-first approach. * Ability to turn partnerships into measurable business outcomes.

Why Join Us?

* Opportunity to work in a fast-growing fintech environment. * Exposure to the fintech and financial services ecosystem. * Opportunity to build and scale strategic partnerships. * High ownership and visibility across business functions. 

Flowmanic is hiring. But not the usual way. (Note: This is a 100% Remote position, regardless of the location listed on this platform).

Three roles. High ownership. 100% remote. Stipend up to $1000/month (₹70,000 - ₹80,000 / month).

1. Founding Partnerships Strategist — talk directly to agency CEOs abroad. Research them. Find the gap. Write something worth reading.

2. Brand & Campaign Architect — own Flowmanic's LinkedIn. If you understand why some posts go viral and most don't, this is yours.

3. Growth Operations Specialist — use every smart tool and workflow possible to reach the right people at scale. Creativity over volume.

What matters here is how you think and what you have built, not which semester you are in.

🚨 TO BE CONSIDERED, YOU MUST APPLY DIRECTLY HERE (Takes 2 mins): https://forms.gle/jTPiPPpBViGWyH9K8" target="_blank">https://forms.gle/jTPiPPpBViGWyH9K8

Education: B.E. Computer Science/IT degree (or any other engineering discipline)

Experience: 9+ years

 Work timings: 2:00 TO 11:00PM/ 6:30PM to 3:30 AM

Position Requirements:

• Program Strategy & Planning
• Own program charters, end-to end roadmaps, success criteria and alignment to business objectives.
• Translate company strategy into clear program priorities, milestones, and resource plans across multiple teams.
• Lead quarterly and long-range capacity planning, balancing scope, resources and timelines across workstreams.

•          Program Execution & Delivery

• Drive delivery of large, technically complex programs comprising multiple projects and teams; ensure on-time, high-quality outcomes.
• Orchestrate cross-functional dependencies, manage sequencing, and remove organizational impediments.
• Operate program-level release, milestone and launch processes; maintain program schedules and integrated plans.

•          Technical Leadership & Influence

• Maintain technical fluency across systems (APIs, services, data, infra, web and mobile platforms) to identify risks, trade-offs, and integration concerns.
• Partner with engineering leads and architects to surface technical dependencies, propose solutions, and influence technical direction.
• Lead technical intake, prioritization and change control for program scope.

•          AI Programs & Governance

• AI-specific program accountability: Own model lifecycle programs (experimentation → validation → deployment → monitoring → scale), model risk management, and coordination with MLOps and data science teams.
• Governance and control: Implement and maintain governance for clinical, editorial, regulatory, and AI-specific risks (bias, explainability, monitoring), coordinating policies and controls with legal, compliance, and domain stakeholders.
• Offshore reality: Design and operate for distributed teams—ensure timezone overlap strategies, clear escalation mechanics, minimize decision latency, and define RACI for offshore/onshore handoffs.
• Experience in mentoring engineering teams to integrate AI assistants into their daily development workflows to increase velocity and code quality.

•          Stakeholder Management & Communication

• Serve as primary program owner for senior leadership and business partners; run steering committees and executive reviews.
• Produce concise executive-level reporting (status, risks, mitigation, outcomes) and tailor communications for diverse audiences.
• Build strong cross-functional relationships and drive alignment through regular touchpoints and stakeholder feedback loops.

 •          Risk, Budget & Vendor Management

• Develop and maintain program-level risk registers, contingency plans, and escalation protocols.
• Manage program budgets, track spend vs. plan, and coordinate with finance and procurement as needed.
• Own vendor/third-party integration and delivery where applicable.

•          Process, Tools & Automation

• Establish program governance, templates, and tooling conventions to improve visibility and efficiency.
• Identify automation and tooling opportunities (including AI-assisted tooling) to reduce manual work and improve program telemetry.
• Drive PMO maturity: scalable processes, reporting, and knowledge management across the organization.

•          Measure Impact

• Define and track program success metrics and business outcomes; iterate to maximize value delivery.
• Ensure learnings are captured and operationalized for future programs.

Role & Responsibilities:

• 10+ years of program or technical project management experience delivering large-scale technical programs in fast-paced, matrixed organizations.
• Proven track record driving multi-team, cross-functional technical initiatives from concept to measurable business outcomes.
• Strong technical literacy (experience with APIs, backend services, cloud infrastructure, data flows and integrations).
• Advanced proficiency with Agile at scale methodologies (e.g., SAFe, LeSS, or equivalent) and deep SDLC knowledge.
• Experience with capacity planning, roadmaps, dependency management, and cross-team prioritization.
• Expert-level proficiency in JIRA and Confluence; comfortable with program/portfolio tooling (Aha!, Productboard, Roadmunk, Airtable, Smartsheet, BI dashboards).
• Excellent stakeholder management and executive communication skills; proven ability to influence without direct authority.
• Strong analytical and problem-solving skills; data-driven mindset.
• Bachelor's degree in Computer Science, Engineering, or equivalent experience.
• Fluent English.

•          Preferred

• Certifications such as PMP, CSM, SAFe Program Consultant (SPC), or equivalent.
• Experience in digital publishing, web/content platforms, AI/ML products, healthcare information systems, or digital media.
• Experience managing program budgets and vendor/contract relationships.
• Familiarity with emerging project automation and Agentic AI tools for program management and decision support.
• Prior experience mentoring PMs and leading PMO or program-level process change initiatives.

We're looking for Sales Partners to bring Selfhost.dev to the developers, agencies, and teams who'd benefit from it. This isn't a traditional quota-and-churn sales seat. It's a partnership: you build relationships, bring teams onto Selfhost.dev, and share in the value they create over time.

Selfhost.dev is a managed-database and app-deployment platform. Your job is to find teams who are overpaying for fragmented infrastructure and show them a simpler, cheaper way to run their whole stack.

What you'll do

• Identify and reach out to teams, agencies, and developers who'd be a strong fit for Selfhost.dev.
• Run conversations and demos that show how Selfhost.dev replaces expensive, fragmented infrastructure.
• Guide new customers through getting started, and help them grow over time.
• Build long-term relationships. Your success is tied to your customers' success.
• Bring feedback from the field back to our product team.

You'll be a fit if

• You're comfortable starting conversations with technical teams and founders.
• You understand cloud infrastructure and developer tooling, or you're eager to learn.
• You're self-directed and do your best work remotely.
• You are motivated by building something that compounds, not chasing one-off commissions.
• You communicate clearly and follow through.

How you'll earn

Our partner model rewards long-term customer success, not one-time deals. For every customer you bring to Selfhost.dev, you earn a recurring commission for as long as they stay with us, so your earnings compound as your book of customers grows.

We'll walk you through the exact commission structure when we talk.

Why join us

• Fully remote, with flexible hours.
• Uncapped, recurring earnings that grow with your customers.
• Work directly with the founders and product team.
• Get in early on a fast-moving platform in a growing market.

Apply with

• A short note on your sales or partnership experience.
• Anything that shows how you build relationships and close deals (optional).
• Your LinkedIn or a quick intro about yourself (optional).
• Link to apply: https://selfhost.dev/careers/sales-partner/

Benefits:

• Flexible schedule
• Work from home

Total Experience: 4+ years

Mode of Hire: Permanent

Required Skills Set (Mandatory): HTML, JavaScript, Node.js, Express.js, MongoDB, React/Next.js, AI Integration (LLMs/APIs - OpenAI, Anthropic, Gemini)

Desired Skills (Good if you have): Cloud Platforms (AWS), System Design, Application Security

What is the role all about?

We're hiring full-stack engineers who build with AI, not the traditional way. You should be fluent in modern web engineering, primarily Node.js, and just as fluent in using LLMs and AI tools (Cursor, Claude Code, and similar) to ship fast. Work that once took a month should take a week; what took a week should take a day.

The role spans a range, from architecting backends for non-trivial products like assistants and agents, to rapidly turning a requirement into a clean, customer-facing app or MVP. Be strong in at least one area, be comfortable across the system as a whole, and tell us where you're strongest so we can place you accordingly.

What will you do?

• Plan, build, and ship product features end-to-end, with AI embedded where it has the most impact.
• Integrate LLMs and AI APIs into production-grade applications.
• Use AI tools to prototype, build, and deliver at high speed without sacrificing quality.
• Design scalable APIs and data models with Node.js, Express.js, and MongoDB.
• Build responsive, performant, customer-facing interfaces with React/Next.js.
• Contribute to design discussions, code reviews, and architectural decisions.

What are we looking for?

AI leverage: 

• You've shipped real things using LLMs or AI APIs and instinctively reach for AI to move faster. 
• Comfortable with prompt engineering and judging AI output for production-readiness.

Engineering depth and delivery:

• Solid fundamentals: problem-solving, data structures, and how systems fit together. 
• At least 2+ years across frontend (React/Next.js), APIs (Node.js/Express.js), and databases (MongoDB). 
• You write clean, production-grade code and you ship.
• Knowledge of application security or ethical hacking is an advantage.

Culture

• Work with performance-oriented teams driven by ownership and passion.
• Learn to design systems for high accuracy, efficiency, and scalability.
• No strict deadlines, focus on delivering quality work.
• Meritocracy-driven, candid culture. No politics.
• Very high visibility regarding which startups and markets are exciting globally.

About Tracxn

Tracxn (Tracxn.com) is a Bangalore-based product company that provides a research and deal-sourcing platform for Venture Capital, Private Equity, Corp Dev, and professionals in the startup ecosystem.

We are a team of 800+ working professionals serving customers across the globe. Our clients include Funds such as Andreessen Horowitz, Matrix Partners, and GGV Capital, as well as Large Corporates such as Citi, Embraer & Ferrero.

Founders

• Neha Singh (ex-Sequoia, BCG | MBA - Stanford GSB)
• Abhishek Goyal (ex-Accel Partners, Amazon | BTech - IIT Kanpur)

About Technology Team

Tracxn's Technology team is 50+ members strong and growing. The technology team is subdivided into multiple smaller teams, each of which owns one or more services/components of the technology platform. Ours is a young team of motivated engineers with a minimal management structure, in which almost everyone is actively involved in technical development and design. We have a team-centric culture where ownership and responsibility for a feature or module lie with a team rather than an individual.

We work on an array of technologies, including but not limited to ReactJS, Next.js, Storybook, Webpack, Node, Mongo, AWS Lambda, Spring, Elastic Stack, MySQL, Kafka, Redis, Ansible, etc.

We value ownership, continuous learning, consistency, and discipline as a team.

Product Engineer — Role Summary

We are looking for a Product Engineer to build user-facing products that combine AI capabilities with practical applications. You will work at the intersection of software engineering and AI, developing autonomous, agent-driven systems that solve complex educational and research problems.

Key Responsibilities:

• Product Development: Design, build, and deploy production-ready applications powered by LLMs and AI agents.
• Data Engineering: Build scalable ETL/ELT pipelines to process structured and unstructured data, including text and audio, for RAG and model fine-tuning.
• Agentic Workflows: Develop multi-step AI agents with tool calling, APIs, databases, search, reasoning, and memory.
• Rapid Prototyping: Turn ideas and research concepts into interactive, production-ready applications.
• AI Integration: Use frameworks such as LangChain, LlamaIndex, AutoGen, or custom orchestrators to integrate AI into scalable systems.
• User Experience: Transform raw AI outputs into reliable, intuitive, and responsive user experiences.
• Collaboration: Work closely with ML researchers and data engineers to integrate custom and fine-tuned models.
• Observability: Monitor agent behavior, manage edge cases, reduce hallucinations, and improve reliability in production.

The ideal candidate combines strong software engineering, AI/LLM expertise, data engineering, and product thinking, with the ability to take an AI concept from prototype to production.