Full Stack Software Engineer (GenAI) Loam.ai – Remote, Full‑Time About Loam.ai Loam.ai is a nimble, research‑driven startup that designs and deploys custom artificial‑intelligence solutions for forward‑thinking businesses. We couple state‑of‑the‑art GenAI techniques with rock‑solid engineering to turn messy data into production‑grade products—fast. As our first dedicated Lead Software Engineer you’ll set the technical tone for the company, shipping features end‑to‑end while shaping our engineering culture from the ground up. Why this role matters Our projects range from Retrieval‑Augmented Generation chat assistants to tailor‑made predictive models embedded in client workflows. Each engagement demands rapid ideation, clear communication with non‑technical stakeholders, and disciplined, high‑quality code. You will be the technical owner who bridges product vision and delivered reality. What you’ll do Own the full stack: Architect, implement, and maintain backend services in Python/Django and modern frontend SPAs in React (or Vue/Svelte/Next). Lead and mentor: Establish engineering best practices, conduct code reviews, and (as we grow) onboard and coach junior developers or contractors. Ship green‑field GenAI products: Prototype and productionize RAG pipelines using Haystack, LangChain, LlamaIndex, vector databases, and orchestration tools. Collaborate directly with clients: Translate ambiguous business problems into technical roadmaps; present progress and trade‑offs to executive and non‑technical audiences. Automate & scale: Design CI/CD, infrastructure‑as‑code, containerization, monitoring, and observability for cloud deployments (AWS/GCP/Azure—your call). Champion quality & security: Implement testing strategies (unit, integration, e2e), enforce secure‑by‑default coding, and manage data privacy throughout the ML lifecycle. You are Seasoned: 3 + years professional experience with Django and 3 + years with a modern JavaScript/TypeScript framework (React preferred). Polyglot & pragmatic: fluent in SQL, REST/GraphQL, Git workflows, containerization, and cloud services. GenAI‑curious (or better): hands‑on with Haystack, LangChain, LlamaIndex, or equivalent frameworks for building LLM apps. Product‑minded: thrive in early‑stage ambiguity, turning sketches or paragraphs into shippable software. Communicative: write crisp design docs and explain complex ideas without jargon. Self‑directed & reliable: comfortable working solo across time zones, setting realistic estimates, and delivering on them. Bonus points for Production experience with vector databases (Pinecone, Qdrant, pgvector, etc.). DevOps chops (Terraform, Pulumi, GitHub Actions, Argo). UI/UX sensitivity or data‑viz expertise. Prior startup or consultancy background. What we offer Remote‑first flexibility – work from anywhere with ≥ 4 h overlap to UTC‑5 (New York). Competitive salary + meaningful equity – grow with the company you’re building. Impact from day one – zero red tape, direct access to founders & clients, and a roadmap you help define. The hiring process Intro call (30 min) – culture & high‑level skill alignment. Technical deep dive (75 min) – system‑design discussion + lightweight coding exercise. Portfolio review (45 min) – walk us through a past project you’re proud of. Show more Show less

About Loam.ai 🌱 Loam.ai is a stealth‑stage startup on a mission to put cutting‑edge AI within reach of every small business. Custom AI Solutions – bespoke LLM and workflow automation projects that unlock new revenue or slash operating costs. Loam Platform – a curated platform of the best AI tools, pre‑integrated and ready to orchestrate end‑to‑end processes with one click. Our technical founding team is looking for a commercial co‑founder‑level leader to build the entire go‑to‑market engine from scratch. What You’ll Own Revenue Strategy & Execution Define ICP, pricing, packaging, and expansion model for both service and platform lines. Design and run full‑funnel experiments (SEO, paid, outbound, partnerships, community). Early Sales & Customer Success Lead founder‑style discovery calls, demo the product, negotiate deals, and close first 25 customers. Systematize onboarding and success playbooks to drive retention and upsell. Marketing & Brand Build a narrative that makes AI adoption feel inevitable (and Loam the obvious guide). Manage content calendar: LinkedIn thought leadership, case‑study videos, newsletters, webinars. Oversee our social voice; hire freelancers or agencies as multiplier force, not crutches. Growth Ops & Analytics Stand up the RevOps stack (CRM, marketing automation, attribution, dashboards). Track CAC, LTV, payback, funnel conversion—report directly to CEO. Team & Culture Recruit, mentor and inspire the first GTM hires (SDRs, demand‑gen, partnerships) as traction scales. Be a culture shaper—equal parts humility, curiosity and bias‑for‑action. You Might Be the One If… 5+ years owning both sales and marketing at an early‑stage B2B SaaS or AI startup. Comfortable selling technical solutions to non‑technical SMB owners as well as mid‑market innovation leads. Portfolio mindset: you iterate through channels rapidly, kill losers and double‑down on winners—data > dogma. Hands‑on operator who can write the copy in the morning and close the deal in the afternoon. Previous experience with workflow automation, AI/ML tooling, or marketplace business models is a serious plus. Compensation & Benefits Competitive Salary matching market standards. Flexible Equity - founding‑team grant. Performance‑based bonus or commission plan once KPIs are defined. Unlimited PTO, stipend for travel and food for in-office days

About Loam.ai 🌱 Loam.ai is a stealth-stage, product‑led startup that helps small‑ and medium‑sized businesses unlock the power of AI without a data‑science department. Custom AI Solutions – Tailor‑made language‑ and vision‑based applications that solve a client’s specific workflow or analytics problems. AI‑Tool Curation & Automation Platform – A green‑field SaaS platform that curates the best AI tools on the market and chains them into turnkey workflows any business owner can trigger with a click. Job Title Chief Technology Officer (CTO) – Founding‑level, Full‑Time, Hybrid You’ll be employee #2 on the engineering side and will shape both product lines from zero to scale. Role Overview Technical Leadership (≈40 %) •Own the technical vision and architecture for the platform and bespoke solutions. • Make high‑impact build/buy/accelerate decisions and communicate trade‑offs to non‑technical stakeholders. • Establish engineering best practices, SDLC, coding standards, observability and security baselines. Hands‑on Development (≈40 %) • Write production‑grade code across the stack (Python / Django & React). • Design, experiment with and fine‑tune GenAI/RAG pipelines (Haystack, LangChain, LlamaIndex). • Set up CI/CD, IaC and automated testing from day 1. Team Building & Ops (≈20 %) • Recruit, mentor and eventually manage a small, high‑leverage engineering team. • Coordinate sprint planning, roadmap grooming and cross‑functional communication with Product & Customer teams. • Drive vendor, cloud and budget decisions to optimise burn vs. velocity. Required Qualifications Experience 5 + years designing and shipping production systems in Python & Django . 5 + years building modern SPAs with React (or similar) and TypeScript. Proven record of end‑to‑end ownership of at least one green‑field product from MVP to post‑launch iteration. Strong background in Generative AI / LLM engineering – retrieval‑augmented generation, prompt orchestration, embeddings, model fine‑tuning. Deep familiarity with CI/CD, IaC (Terraform/CDK/pulumi), containerisation (Docker/K8s) and cloud platforms (AWS/GCP/Azure). Mindset & Soft Skills Operates autonomously; comfortable making 0‑to‑1 architectural calls under uncertainty. Clear, persuasive communicator who can translate between technical depth and business value. Builder’s mentality with an eye for pragmatic MVPs, rapid iteration and measured technical debt. Nice‑to‑Have Prior experience in a B2B SaaS startup or marketplace. Exposure to WhatsApp Business / conversational‑AI ecosystems. Past leadership of a distributed or hybrid engineering team. Compensation & Benefits Competitive salary tailored to your experience and market benchmarks. Equity – meaningful founding‑team share; structure is flexible. Hybrid work – typically 2–3 anchor days per week in our HQ (Mumbai; relocation support negotiable). Transport & meal reimbursement for in‑office days.

What you’ll do Own the full stack Architect, implement, and maintain backend services in Python/Django and modern frontend SPAs in React (or Vue/Svelte/Next) . Lead and mentor Establish engineering best practices, conduct code reviews, and (as we grow) onboard and coach junior developers or contractors. Ship green‑field GenAI products Prototype and productionize RAG pipelines using Haystack, LangChain, LlamaIndex , vector databases, and orchestration tools. Collaborate directly with clients Translate ambiguous business problems into technical roadmaps; present progress and trade‑offs to executive and non‑technical audiences. Automate & scale Design CI/CD, infrastructure‑as‑code, containerization, monitoring, and observability for cloud deployments (AWS/GCP/Azure—your call). Champion quality & security Implement testing strategies (unit, integration, e2e), enforce secure‑by‑default coding, and manage data privacy throughout the ML lifecycle. You are Seasoned: 3 + years professional experience with Django and 3 + years with a modern JavaScript/TypeScript framework (React preferred). Polyglot & pragmatic: fluent in SQL, REST/GraphQL, Git workflows, containerization, and cloud services. GenAI‑curious (or better): hands‑on with Haystack, LangChain, LlamaIndex, or equivalent frameworks for building LLM apps. Product‑minded: thrive in early‑stage ambiguity, turning sketches or paragraphs into shippable software. Communicative: write crisp design docs and explain complex ideas without jargon. Self‑directed & reliable: comfortable working solo across time zones, setting realistic estimates, and delivering on them. Bonus points for Production experience with vector databases (Pinecone, Qdrant, pgvector, etc.). DevOps chops (Terraform, Pulumi, GitHub Actions, Argo). MLOps experience (Vertex AI, SageMaker, BentoML, Weights & Biases). UI/UX sensitivity or data‑viz expertise. Prior startup or consultancy background. What we offer Remote‑first flexibility – Hybrid work from centrally located office space Travel + Food Compensation: For in-office days Competitive salary + meaningful equity – grow with the company you’re building. Impact from day one – zero red tape, direct access to founders & clients, and a roadmap you help define the product. The hiring process Intro call (30 min) – culture & high‑level skill alignment. Technical deep dive (75 min) – system‑design discussion + lightweight coding exercise. Portfolio review (45 min) – walk us through a past project you’re proud of. Founder chat (30 min) – values alignment & offer discussion.