Software Developer

Company: Swastya

Location: Remote

Type: Full-time

Swastya is a WhatsApp-first AI health coaching platform with a web layer for dashboards, partner workflows, and product showcases.

Our B2B arm partners with diagnostic labs, clinics, and corporate health programs, bringing Swastya's AI coaching, diet planning, and lab-report intelligence into their existing customer journeys.

This role owns the engineering surface that keeps those partners live, reliable, and growing.

You will spend 80–90% of your time on B2B pipelines and integrations, building the connectors, ingestion flows, and internal tooling that take a lab partner from signed contract to users receiving reports and coaching on WhatsApp with zero drama.

The remaining 10–20% of your time will be on our core AI stack, including LangGraph agents, RAG pipelines, and agentic flows, so you stay close to the product that these integrations power.

This is a hands-on builder role with direct partner exposure. You'll work with lab tech teams, debug CSV schemas at 11 PM, and own the success of every partner integration end-to-end.

• Build and maintain ingestion pipelines for lab partners, including:
• File drops via SFTP/S3
• HL7/FHIR feeds
• REST webhooks
• Custom one-off formats
• Own the partner onboarding pipeline end-to-end:
• Schema mapping
• Lab ID normalization
• Deduplication
• Retries
• Idempotency
• Reconciliation
• Build internal ops tooling and dashboards so non-engineers can monitor:
• Partner health
• Ingestion rates
• Failure reasons
• SLA breaches
• Act as the engineering point of contact for lab partners, working directly with their development and IT teams to debug, design schemas, and ship integrations quickly.
• Improve our integration test harness, fixtures, and QA workflows so partner regressions are caught before they hit production.
• Build the connective tissue between lab data and the WhatsApp coaching surface, including:
• Report-driven nudges
• Triggered campaigns
• Partner-branded flows

• Contribute to our LangGraph-based agentic flows that drive:
• Health coaching
• Diet planning
• Lab report interpretation
• Improve RAG retrieval quality across:
• Lab reports
• Food data
• Clinical content
• Help evolve our agent tooling, evals, and prompt infrastructure.

• 1-2 years of experience building production backend systems in Python using FastAPI, Django, or similar frameworks.
• Strong experience with integration-heavy systems, including:
• File ingestion
• Webhooks
• Queueing
• Retries
• Idempotency
• Schema mapping
• Comfort owning systems end-to-end: design, build, deploy, monitor, debug, and support.
• Working knowledge of SQL and at least one queue or stream system such as Redis, SQS, Kafka, or similar.
• Strong partner/customer-facing communication skills. You should be comfortable joining a call with a lab's IT team and driving technical decisions.
• Bias to ship. You should be comfortable in a startup environment where the spec is half-written and the deadline is tomorrow.

• Hands-on experience with LangGraph, LangChain, or similar agent frameworks.
• Experience working with RAG pipelines, including embeddings, vector stores, and retrieval evals.
• Familiarity with WhatsApp Cloud API, message templates, or conversational platforms.
• Healthcare or diagnostics domain exposure, including HL7, FHIR, LIS systems, or lab report formats.
• Experience building multi-tenant systems with per-partner configuration, branding, and SLAs.

• You'll be the engineer behind every lab partnership Swastya signs, with direct and measurable impact on revenue.
• You'll work at the intersection of integrations engineering, platform engineering, and AI engineering — a rare and valuable combination.
• Small team, short feedback loops, no committees.